Simulative Assessment of Agent Based Production Planning and Control Strategies

Denis Kurle; Stefan Blume; Tobias Zurawski; Sebastian Thiede

doi:10.1016/j.procir.2016.11.076

Simulative Assessment of Agent Based Production Planning and Control Strategies

Denis Kurle^*
, Stefan Blume
, Tobias Zurawski
, Sebastian Thiede

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Academic › peer-review

3 Citations (Scopus)

46 Downloads (Pure)

Abstract

To capture the dynamics in flexible manufacturing systems and derive appropriate production planning and control (PPC) strategies, simulation has proven to be a promising method. However, many simulation approaches focus on supply chain aspects, discrete production steps or were modeled for specific use cases involving a high degree of complexity. This paper presents an approach to structure manufacturing systems including parametrizable jobs, products and machines. It provides the option to choose from a normal, an energy- or time-efficient PPC strategy either minimizing the required time or energy demand. As a result, improved case-specific PPC strategies can be derived.

Original language	English
Pages (from-to)	439-444
Number of pages	6
Journal	Procedia CIRP
Volume	57
DOIs	https://doi.org/10.1016/j.procir.2016.11.076
Publication status	Published - 1 Jan 2016
Externally published	Yes
Event	49th CIRP Conference on Manufacturing Systems, CIRP CMS 2016 - Stuttgart, Germany Duration: 25 May 2016 → 27 May 2016 Conference number: 49

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Agents
Energy efficiency
Production planning and control strategies
Simulation
Time effficiency

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10.1016/j.procir.2016.11.076Licence: CC BY-NC-ND

Kurle2016simulativeFinal published version, 1.89 MBLicence: CC BY-NC-ND

Cite this

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title = "Simulative Assessment of Agent Based Production Planning and Control Strategies",

abstract = "To capture the dynamics in flexible manufacturing systems and derive appropriate production planning and control (PPC) strategies, simulation has proven to be a promising method. However, many simulation approaches focus on supply chain aspects, discrete production steps or were modeled for specific use cases involving a high degree of complexity. This paper presents an approach to structure manufacturing systems including parametrizable jobs, products and machines. It provides the option to choose from a normal, an energy- or time-efficient PPC strategy either minimizing the required time or energy demand. As a result, improved case-specific PPC strategies can be derived.",

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author = "Denis Kurle and Stefan Blume and Tobias Zurawski and Sebastian Thiede",

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doi = "10.1016/j.procir.2016.11.076",

language = "English",

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T1 - Simulative Assessment of Agent Based Production Planning and Control Strategies

AU - Kurle, Denis

AU - Blume, Stefan

AU - Zurawski, Tobias

AU - Thiede, Sebastian

N1 - Conference code: 49

PY - 2016/1/1

Y1 - 2016/1/1

N2 - To capture the dynamics in flexible manufacturing systems and derive appropriate production planning and control (PPC) strategies, simulation has proven to be a promising method. However, many simulation approaches focus on supply chain aspects, discrete production steps or were modeled for specific use cases involving a high degree of complexity. This paper presents an approach to structure manufacturing systems including parametrizable jobs, products and machines. It provides the option to choose from a normal, an energy- or time-efficient PPC strategy either minimizing the required time or energy demand. As a result, improved case-specific PPC strategies can be derived.

AB - To capture the dynamics in flexible manufacturing systems and derive appropriate production planning and control (PPC) strategies, simulation has proven to be a promising method. However, many simulation approaches focus on supply chain aspects, discrete production steps or were modeled for specific use cases involving a high degree of complexity. This paper presents an approach to structure manufacturing systems including parametrizable jobs, products and machines. It provides the option to choose from a normal, an energy- or time-efficient PPC strategy either minimizing the required time or energy demand. As a result, improved case-specific PPC strategies can be derived.

KW - Agents

KW - Energy efficiency

KW - Production planning and control strategies

KW - Simulation

KW - Time effficiency

UR - https://www.scopus.com/pages/publications/85006999400

U2 - 10.1016/j.procir.2016.11.076

DO - 10.1016/j.procir.2016.11.076

M3 - Conference article

AN - SCOPUS:85006999400

SN - 2212-8271

VL - 57

SP - 439

EP - 444

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 49th CIRP Conference on Manufacturing Systems, CIRP CMS 2016

Y2 - 25 May 2016 through 27 May 2016

ER -

Simulative Assessment of Agent Based Production Planning and Control Strategies

Abstract

UN SDGs

Keywords

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